pandas-dev/pandas · error · ValueError
You must specify at least 4 characters when resetting…
Error message
You must specify at least 4 characters when resetting multiple keys, use the special keyword "all" to reset all the options to their default value
What it means
Raised by `reset_option` as a safety guard: when the pattern matches MORE than one key AND the pattern is shorter than 4 characters AND it is not the special keyword `'all'`. This prevents accidentally resetting a large set of options with a tiny pattern (e.g. `'max'` hits many options).
Solutions
- Lengthen the pattern to at least 4 characters that still match the intended set, e.g. `pd.reset_option('display')`.
- Reset each option individually by its full key.
- Use `pd.reset_option('all')` to reset absolutely every option (intended nuclear option).
Example fix
# before
pd.reset_option('max') # ValueError: must specify >= 4 chars
# after
pd.reset_option('display.max_rows')
# or, to reset everything:
pd.reset_option('all') Defensive patterns
Strategy: validation
Validate before calling
import pandas as pd
from pandas._config.config import _select_options
def safe_reset(pat: str):
keys = _select_options(pat)
if len(keys) > 1 and len(pat) < 4 and pat != 'all':
# caller used a dangerously short multi-match; pick full keys instead
for k in keys:
pd.reset_option(k)
else:
pd.reset_option(pat) Type guard
def is_safe_reset_pattern(pat: str) -> bool:
import pandas._config.config as c
keys = c._select_options(pat)
return not (len(keys) > 1 and len(pat) < 4 and pat != 'all') Try / catch
try:
pd.reset_option(pat)
except ValueError as e:
if 'at least 4 characters' in str(e):
# lengthen pattern or reset each key individually
...
raise Prevention
- Never reset with patterns shorter than 4 characters in production.
- Prefer resetting full keys individually to keep behavior explicit.
- Reserve `reset_option('all')` for known throwaway contexts.
When it happens
Trigger: `pd.reset_option('max')`, `pd.reset_option('di')`, or any sub-4-char pattern that matches multiple options (and is not exactly `'all'`).
Common situations: Trying to batch-reset a namespace with a short prefix; assuming `reset_option` accepts partial names the way `set_option` does without the guard.
Related errors
- Pattern matched multiple keys
- is a python keyword
- is not a valid identifier
- Must provide an even number of non-keyword arguments
- No such keys(s) for
AI-assisted analysis of pandas-dev/pandas@3b7651241d (2026-08-11).
Data as JSON: /api/errors/6df38e80972c6d19.
Report an issue: GitHub.
Appendix: source
Thrown at pandas/_config/config.py:392
set_option : Set the value of the specified option or options.
describe_option : Print the description for one or more registered options.
Notes
-----
For all available options, please view the
:ref:`User Guide <options.available>`.
Examples
--------
>>> pd.reset_option("display.max_columns") # doctest: +SKIP
"""
keys = _select_options(pat)
if len(keys) == 0:
raise OptionError(f"No such keys(s) for {pat=}")
if len(keys) > 1 and len(pat) < 4 and pat != "all":
raise ValueError(
"You must specify at least 4 characters when "
"resetting multiple keys, use the special keyword "
'"all" to reset all the options to their default value'
)
for k in keys:
set_option(k, _registered_options[k].defval)
def get_default_val(pat: str) -> Any:
key = _get_single_key(pat)
opt = _get_registered_option(key)
assert opt is not None
return opt.defval
class DictWrapper:
"""provide attribute-style access to a nested dict"""View on GitHub (pinned to 3b7651241d)